Artificial Intelligence & Big Data Lab
Since 2005.
- Professional learning and research
- Cross-disciplinary integration and development
- Industry–academia services and collaboration
- Sports science applications and practice
Algorithm development
Developing algorithms for specific business problems and integrating them into existing systems to improve efficiency, stability and configuration.
Heterogeneous data integration and analysis
Using big data, ETL and data modeling to integrate information from different systems and design reports, dashboards and monitoring tools around client needs.
Cross-disciplinary integration
Integrating systems and data across fields such as healthcare, petrochemicals and machinery, and applying information technology to practical problems.
Optimization
Organizing data and developing customized optimization algorithms to identify operating parameters based on the problem and available resources.